Natural dynamical system: Chaos; order and randomness

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Synchronized Chaos in Coupled Optical Feedback Networks Briana E. Mork, Gustavus Adolphus College Katherine R. Coppess, University of Michigan

description

Man-made dynamical system: Periodic (mostly) Oscillators (Nodes) Synchrony Synchrony in chaos and why it’s important Dynamical networks Man made: power grids Brain Can’t experiment with those, can experiment with oscillators in the lab natural and artificial-- chaotic and periodic Connect to our experiment: Topology is important http://www.efoodsdirect.com/blog/wp-content/uploads/2013/10/power-grid-drill.jpg

Transcript of Natural dynamical system: Chaos; order and randomness

Page 1: Natural dynamical system: Chaos; order and randomness

Synchronized Chaos in Coupled Optical Feedback Networks

Briana E. Mork, Gustavus Adolphus CollegeKatherine R. Coppess, University of Michigan

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Kitzbichler (2009) PLoS Comput Biol 5(3)

Natural dynamical system:Chaos; order and randomness

Oscillators (Nodes)Synchrony

http://2.bp.blogspot.com/-73jjFxeZhjc/T-IRe264OII/AAAAAAAADXU/2PBDgyH2Ufk/s400/Brain_Highways.png

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Man-made dynamical system:Periodic (mostly)

Oscillators (Nodes)Synchrony

http://www.efoodsdirect.com/blog/wp-content/uploads/2013/10/power-grid-drill.jpg

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Examples of Four-Node Network Topologies

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Experimental Four-Node Network Topologies

CRS Williams et al. CHAOS 23, 043117 (2013)

Previously studied

Summer 2014

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The Experiment

Four nodes form a delay-coupled system with weighted and directed links. Weight is determined by the coupling strength ε as implemented by the DSP board.

CRS Williams et al. CHAOS 23, 043117 (2013)

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Changing the feedback strength β of a node varies the dynamics of the node.

Dynamics of a Nodex(

t) (A

.U.)

time (ms)

CRS Williams et al. CHAOS 23, 043117 (2013)

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Experimental Network Topologies

Bidirectional ring

Bidirectional chain with

unidirectional links

Bottom: Laplacian coupling matrices for the two networks, respectively.

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Bidirectional Ring

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Bidirectional Ring

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Bidirectional Chain with

Unidirectional Links

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- Stability analysis for synchronous states- Many-node networks- Comparison of convergence rates between global and cluster synchrony

Conclusions

Future work

- The synchronous states that arise depend on topology of the network.- Transitions between synchronous states depend on coupling strength.

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Caitlin R. S. Williams, Washington and Lee UniversityAaron M. Hagerstrom, University of Maryland

Louis Pecora, Naval Research LaboratoryFrancesco Sorrentino, University of New Mexico

Thomas E. Murphy, University of MarylandRajarshi Roy, University of Maryland

Acknowledgments

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Synchronization states and multistability in a ring of periodic oscillators: Experimentally variable coupling delays CRS Williams et al. CHAOS 23, 043117 (2013)

Experimental Observations of Group Synchrony in a System of Chaotic Optoelectronic Oscillators CRS Williams et al. PRL 110, 064104 (2013)

Cluster Synchronization and Isolated Desynchronization in Complex Networks with Symmetries L Pecora et al. NATURE COMMUNICATIONS | DOI: 10.1038/ncomms5079 (2014)

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